BRAND
发表于 2025-3-28 16:59:32
Anees Kazi,Shadi Albarqouni,Amelia Jimenez Sanchez,Sonja Kirchhoff,Peter Biberthaler,Nassir Navab,Di
olfction
发表于 2025-3-28 19:10:33
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松紧带
发表于 2025-3-29 00:13:12
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Cardioplegia
发表于 2025-3-29 05:11:09
Yuru Pei,Yunai Yi,Gengyu Ma,Yuke Guo,Gui Chen,Tianmin Xu,Hongbin Zha
围裙
发表于 2025-3-29 08:10:15
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蘑菇
发表于 2025-3-29 14:26:01
Motion Corruption Detection in Breast DCE-MRI,els; one based on a feature extraction method and a second one using a deep learning approach. These models are trained using estimates of deformation generated from unlabeled clinical data. We validate the predictions on a labeled dataset from radiologists denoting cases suffering from motion artif
hemophilia
发表于 2025-3-29 19:19:28
Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Ca for risk class assignment. The intraclass correlation coefficient is 0.98 for the left anterior descending artery (LAD), 0.88 for the left circumflex artery (LCX), and 0.98 for the right coronary artery (RCA). The implemented system offers state-of-the-art accuracy with a processing time (< 30 s) b
Keratectomy
发表于 2025-3-29 20:52:58
Atlas of Classifiers for Brain MRI Segmentation,on is independent of the test images, providing the flexibility to train it on the available labeled data and use it for the segmentation of images from different datasets and modalities..The proposed method has been applied to publicly available datasets for the segmentation of brain MRI tissues an
pester
发表于 2025-3-30 02:48:22
Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivcientifically meaningful within motor area. The promising results show that the proposed method can provide an important foundation for the high-resolution functional connectivity analysis, and provide a better approach for fMRI preprocessing.
残暴
发表于 2025-3-30 06:32:08
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